Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.756878
Title: Investigating methods to improve sensitivity of the Apparent Diffusion Coefficient, a potential imaging biomarker of treatment response, for patients with colorectal liver metastasis
Author: Pathak, Ryan
ISNI:       0000 0004 7429 7353
Awarding Body: University of Manchester
Current Institution: University of Manchester
Date of Award: 2018
Availability of Full Text:
Access from EThOS:
Access from Institution:
Abstract:
Radiological imaging already has a key role in the detection and management of patients with metastatic colorectal cancer (mCRC). With the evolution of personalised medicine there is a need for non-invasive imaging biomarkers that can detect early tumour response to targeted therapies. Translation from bench to bedside requires a multicentre approach that follows an agreed development roadmap to ensure that the proposed biomarker is precise (reproducible/ repeatable) and accurate in its characterisation of a meaningful physiological, pathological or post treatment response. The following thesis (organized in the alternative format with experimental studies written as individual complete manuscripts) investigates methods to improve precision and accuracy of the Apparent Diffusion Coefficient (ADC), a proposed quantitative imaging biomarker with a potential role in characterisation of post treatment responses in mCRC. The first objective was to establish baseline multicentre reproducibility (n=20) for ADC. A change in ADC greater than 21.1% was required to determine a post treatment response. Using a statistical error model, the dominating factors that influenced reproducibility were motion artefact and tumour volume. In the second study these factors were addressed using a single centre cohort with pre and post treatment data. Correcting for errors due to motion and tumour volume improved sensitivity from 30.3% to 1.7%, so a post treatment response was detected in 6/12 tumours compared to 0/12 using the baseline approach. In the third study, motion correction was implemented and the statistical error model was applied successfully to a multicentre cohort of 15 patients (1.9% sensitivity). The results of this thesis highlights that with careful consideration and correction of factors that negatively influence sensitivity, ADC is a potential imaging biomarker for use in post treatment response for patients with mCRC.
Supervisor: Jackson, Alan ; Thacker, Neil ; Stivaros, Stavros ; Asselin, Marie-Claude Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.756878  DOI: Not available
Keywords: Liver metastases ; Error model ; Diffusion Weighted Imaging ; colorectal cancer ; Imaging biomarker ; Apparent Diffusion Coefficient
Share: